• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.795-798
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• 2005

홈 네트워크(Home Network)는 가정 내에 컴퓨터 및 주변 장치, 정보 장치, 디지털 가전제품 등의 모든 장치를 하나의 통신망으로 묶어서 정보를 공유하고 제어하며 작동을 가능하게 하는 '미래형 가전 시스템'이다. 홈 네트워크는 네트워킹 기술, 기반 소프트웨어의 발전에 따라 급속히 확산되어 가고 있다. 본 연구는 홈 네트워크의 멀티미디어 세션에 참여한 참여자간의 효율적인 의사소통과 상호협력 환경의 향상을 위하여 다양한 형태로 응용의 변화를 주는 오류 관리기의 설계 및 구축이다. 제안하고자 하는 오류 관리기를 이용하면 멀티미디어 응용 개발 프레임웍에서의 오류 발생시에 객체를 동적으로 생성 및 제거함으로써 자신의 컴퓨터 시스템 상황에 맞는 세션을 진행할 수 있고, 유동적인 네트워크 트래픽에서도 진행 중인 세션을 유지시킬 수 있을 뿐만 아니라, 오류가 발생된 응용을 제외한 객체만의 조합으로 다양한 형태의 세션을 만들 수 있다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.469-471
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• 2020

방송의 디지털화에 따른 비장애인 대비 소외 계층의 정보 접근성의 부족은 소외 계층에 대한 정보 격차를 심화시킬 수 있다. 이에 캐릭터 수화 방송, 자막 방송 등 장애인을 위한 방송 서비스의 양적, 질적 개선에 관한 연구가 진행되고 있다. 자막 방송 서비스의 경우, 관련 법령에 따라 서비스를 실시하고 있으며 지상파 UHD 방송의 경우에도 본 방송을 시작한 이래 폐쇄 자막 서비스 시스템을 구축하여 서비스를 제공하고 있다. 이러한 기존 자막 서비스는 텍스트 형태의 단조로운 내용 전달 방식이어서 다양한 스타일로 풍부하게 내용을 전달하는 것에 대한 요구가 있다. 이에 본 논문에서는 지상파 UHD 방송을 대상으로 개선된 형태의 자막 서비스인 감성자막 서비스를 소개하고 이를 위한 감성 자막 편집기 기술 개발에 대하여 다룬다. 감성자막 서비스는 화자의 감정 정보를 자막 메타데이터에 추가적으로 제공하여, 감정에 따라 다양한 이모티콘이나 다른 종류의 폰트 스타일로 자막 서비스가 가능하게 하는 서비스이다. 감성자막 편집기는 이러한 감성 자막 메타데이터를 추가, 편집하고 감성자막 파일로 생성하기 위한 시스템으로, 지상파 UHD 송출 시스템 및 폐쇄 자막 표준을 고려하여 개발하였다.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.1
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• pp.42-50
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• 2023

The development of technology has achieved digital innovation throughout the media industry, including production techniques and editing technologies, and has brought diversity in the form of consumer viewing through the OTT service and streaming era. The convergence of big data and deep learning networks automatically generated text in format such as news articles, novels, and scripts, but there were insufficient studies that reflected the author's intention and generated story with contextually smooth. In this paper, we describe the flow of pictures in the storyboard with image caption generation techniques, and the automatic generation of story-tailored scenarios through language models. Image caption using CNN and Attention Mechanism, we generate sentences describing pictures on the storyboard, and input the generated sentences into the artificial intelligence natural language processing model KoGPT-2 in order to automatically generate scenarios that meet the planning intention. Through this paper, the author's intention and story customized scenarios are created in large quantities to alleviate the pain of content creation, and artificial intelligence participates in the overall process of digital content production to activate media intelligence.

• Journal of Broadcast Engineering
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• v.6 no.1
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• pp.98-107
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• 2001

In this paper we derive an optimal Huffman code set with escape coding that miximizes coding efficiency for the Hangul text data. The Hangul code can be represented in the standard Wansung or Unicode format, and we can generate a set of Huffamn codes for both. The current Korean DT standard has not defined a Hangul compression algorithm which may be confronted with a serious data rate for the digital data broadcasting system Generation of the optimal Huffman code set is to solve the data transmission problem. A relevant PSIP structure for the DTB standard is also proposed As a result characters which have the probability of less than 0.0043 are escape coded, showing the optimum compression efficiency of 46%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.507-511
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• 2010

Digital Radio Frequency Memory (below, DRFM) performs RF signal data store, delay and re-transmission. DRFM is wildly used as core module of Jammer, EW simulator, Target Echo Generator etc. This paper suggests a hardware design of DRFM which is composed RF section(RF Input/Output Module, Local Oscillator Module) and Digital section(ADC module, memory, DAC module), and confirm the validity of the propose by the test result.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.9-13
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• 2021

With the development of communication technology, various forms of digital crime are increasing, and the need for digital forensics is increasing. Moreover, if a textual document containing sensitive data is deliberately deleted or modified by a particular person, it could be important data to prove its connection to a particular person and crime through a system that checks for data modification detection. This paper proposes a data modification detection system that can analyze the hash data, file size, file creation date, file modification date, file access date, etc. of SHA-256, one of the encryption techniques, focusing on text files, to compare whether the target text file is modified or not.

• Journal of Digital Contents Society
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• v.13 no.4
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• pp.559-565
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• 2012

The remarkable development of IT is contributed to popularization of smart phones, which in turn creates a new domain called app store. Smartphone apps have grown fast because they can be easily purchased through an app store. As the volume of apps traded in app stores is so huge that it is extremely hard for users to find the exact app they want. In general, an app store recommends an app to users based on the search words they entered. In terms of recommendation of app, this kind of content-based method is not effective. To increase accuracy in recommending app, this paper proposes a characteristic similarity-based app recommendation method. This method creates attributes on the app based on the related information such as genre, functionality and number of downloads and then compares them with the propensity to use the app. According to diverse simulations, the method proposed in this paper improved the performance of app recommendation by 33% in average, compared to the conventional method.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.4
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• pp.129-149
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• 2022

Records have temporal characteristics, including the past and present; linguistic characteristics not limited to a specific language; and various types categorized in a complex way. Processing records such as text, video, and audio in the life cycle of records' creation, preservation, and utilization entails exhaustive effort and cost. Primary natural language processing (NLP) technologies, such as machine translation, document summarization, named-entity recognition, and image recognition, can be widely applied to electronic records and analog digitization. In particular, Korean deep learning-based NLP technologies effectively recognize various record types and generate record management metadata. This paper provides an overview of Korean NLP technologies and discusses considerations for applying NLP technology in records management. The process of using NLP technologies, such as machine translation and optical character recognition for digital conversion of records, is introduced as an example implemented in the Python environment. In contrast, a plan to improve environmental factors and record digitization guidelines for applying NLP technology in the records management field is proposed for utilizing NLP technology.

• Journal of the Korea Society for Simulation
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• v.32 no.1
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• pp.13-21
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• 2023

This paper proposes a method of automatically generating a model through a machine learning technique by setting a hypothetical model in the form of a gray box or black box with unknown parameters, when the big data of the actual system is given. We implements the proposed framework and conducts experiments to find an appropriate model among various hypothesis models and compares the cost and fitness of them. As a result we find that the proposed framework works well with continuous systems that could be modeled with ordinary differential equation. This technique is expected to be used well for the purpose of automatically updating the consistency of the digital twin model or predicting the output for new inputs using recently generated big data.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1061-1068
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• 2018

Design is already an integral part of our lives and is in many different forms. Creating a variety of designs has made it more important to establish the value of the design, and maintaining consistency through correct use and distribution of the developed design as important as development. The 2018 Pyeongchang Winter Olympic Games and the Winter Paralympics, which were held at the groval level, played an important role in creating and operating diverse contents to promote Korea to the world. He created emblems with the motif of " Hangul, " which can reflect Korean characteristics, and a mascot that reveals the identity of the competition. The generated contents were created as design guides for the convenience of users (sponsors, media, relevant agencies, etc.) and managed through the Design Distribution System (DDS). The researcher wants to determine the effectiveness and value of the design distribution and management system based on the results obtained by operating the DDS of POCOG.